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Risk of Cause-Specific Death in Individuals With Diabetes: A Competing Risks Analysis
Open accessAbstract
OBJECTIVE: Diabetes is a common cause of shortened life expectancy. We aimed to assess the association between diabetes and cause-specific death. RESEARCH DESIGN AND METHODS: We used the pooled analysis of individual data from 12 Spanish population cohorts with 10-year follow-up. Participants had no previous history of cardiovascular diseases and were 35–79 years old. Diabetes status was self-reported or defined as glycemia >125 mg/dL at baseline. Vital status and causes of death were ascertained by medical records review and linkage with the official death registry. The hazard ratios and cumulative mortality function were assessed with two approaches, with and without competing risks: proportional subdistribution hazard (PSH) and cause-specific hazard (CSH), respectively. Multivariate analyses were fitted for cardiovascular, cancer, and noncardiovascular noncancer deaths. RESULTS: We included 55,292 individuals (15.6% with diabetes and overall mortality of 9.1%). The adjusted hazard ratios showed that diabetes increased mortality risk: 1) cardiovascular death, CSH = 2.03 (95% CI 1.63–2.52) and PSH = 1.99 (1.60–2.49) in men; and CSH = 2.28 (1.75–2.97) and PSH = 2.23 (1.70–2.91) in women; 2) cancer death, CSH = 1.37 (1.13–1.67) and PSH = 1.35 (1.10–1.65) in men; and CSH = 1.68 (1.29–2.20) and PSH = 1.66 (1.25–2.19) in women; and 3) noncardiovascular noncancer death, CSH = 1.53 (1.23–1.91) and PSH = 1.50 (1.20–1.89) in men; and CSH = 1.89 (1.43–2.48) and PSH = 1.84 (1.39–2.45) in women. In all instances, the cumulative mortality function was significantly higher in individuals with diabetes. CONCLUSIONS: Diabetes is associated with premature death from cardiovascular disease, cancer, and noncardiovascular noncancer causes. The use of CSH and PSH provides a comprehensive view of mortality dynamics in a population with diabetes.
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“People with diabetes are at heightened risk for developing adverse cardiovascular outcomes, compared with people without diabetes.”
From Glucagon-like peptide-1 receptor agonists in diabetic kidney disease: a review of their kidney and heart protection (2023) · cites this paper as [1]
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Hemmingsen, B., Lund, S. S., Gluud, C. N., Vaag, A. A., Almdal, T., & Wetterslev, J. (2015) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd008143.pub4 · Cited by 287
RetractedHemmingsen, B., Lund, S. S., Gluud, C. N., Vaag, A. A., Almdal, T., & Wetterslev, J. (2013) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd008143.pub3 · Cited by 210
RetractedA Proportional Hazards Model for the Subdistribution of a Competing Risk
Fine, J. P., & Gray, R. J. (1999) · Journal of the American Statistical Association · doi:10.1080/01621459.1999.10474144 · Cited by 14,290 · cited 1×
“The hazard ratios and cumulative mortality function were assessed by Cox (CSH) and Fine-Gray (PSH) regressions using the “cmprsk” R package (17,18).”
MethodInternational Diabetes Federation 2017
Carracher, A. M., Marathe, P. H., & Close, K. L. (2018) · Journal of Diabetes · doi:10.1111/1753-0407.12644 · Cited by 13,379
Haffner, S. M., Lehto, S., Rönnemaa, T., Pyörälä, K., & Laakso, M. (1998) · New England Journal of Medicine · doi:10.1056/nejm199807233390404 · Cited by 7,000
The Emerging Risk Factors Collaboration (2010) · The Lancet · doi:10.1016/s0140-6736(10)60484-9 · Cited by 5,125
Diabetes Mellitus, Fasting Glucose, and Risk of Cause-Specific Death
The Emerging Risk Factors Collaboration (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1008862 · Cited by 2,726
Tunstall-Pedoe, H., Kuulasmaa, K., Amouyel, P., Arveiler, D., Rajakangas, A.-M., & Pająk, A. (1994) · Circulation · doi:10.1161/01.cir.90.1.583 · Cited by 2,260
Changes in diabetes-related complications in the United States, 1990-2010
Gregg, E. W., Li, Y., Wang, J., Rios Burrows, N., Ali, M. K., Rolka, D., Williams, D. E., & Geiss, L. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1310799 · Cited by 1,749
Competing Risk Regression Models for Epidemiologic Data
Lau, B., Cole, S. R., & Gange, S. J. (2009) · American Journal of Epidemiology · doi:10.1093/aje/kwp107 · Cited by 1,405
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IDF Diabetes Atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045
Cho, N. H., Shaw, J. E., Karuranga, S., Huang, Y., da Rocha Fernandes, J. D., Ohlrogge, A. W., & Malanda, B. (2018) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2018.02.023 · Cited by 7,283
Xu, G., Liu, B., Sun, Y., Du, Y., Snetselaar, L., Hu, F. B., & Bao, W. (2018) · BMJ · doi:10.1136/bmj.k1497 · Cited by 576
Martín-Peláez, S., Fito, M., & Castaner, O. (2020) · Nutrients · doi:10.3390/nu12082236 · Cited by 330
Worldwide Epidemiology of Diabetes-Related End-Stage Renal Disease, 2000–2015
Cheng, H., Xu, X., Lim, P., & Hung, K. (2020) · Diabetes Care · doi:10.2337/dc20-1913 · Cited by 317
Comorbidities in SARS-CoV-2 Patients: a Systematic Review and Meta-Analysis
Ng, W. H., Tipih, T., Aminake, M. N., Vermeulen, J., Goedhals, D., Sempa, J. B., Burt, F. J., Taylor, A., & Mahalingam, S. (2021) · mBio · doi:10.1128/mbio.03647-20 · Cited by 296
Ohkuma, T., Komorita, Y., Peters, S. A. E., & Woodward, M. (2019) · Diabetologia · doi:10.1007/s00125-019-4926-x · Cited by 279
Safiri, S., Karamzad, N., Kaufman, J. S., Bell, A. W., Nejadghaderi, S. A., Sullman, M. J. M., Moradi‐Lakeh, M., Collins, P. G. S., & Kolahi, A. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.838027 · Cited by 269
Wang, L., Zhou, X., Yin, Y., Mai, Y., Wang, D., & Zhang, X. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2018.03076 · Cited by 211
Ohkuma, T., Peters, S. A. E., & Woodward, M. (2018) · Diabetologia · doi:10.1007/s00125-018-4664-5 · Cited by 188
Association of Diabetes With All-Cause and Cause-Specific Mortality in Asia
Yang, J. J., Yu, D., Wen, W., Saito, E., Rahman, M. S., Shu, X., Chen, Y., Gupta, P. C., Gu, D., Tsugane, S., et al. (2019) · JAMA Network Open · doi:10.1001/jamanetworkopen.2019.2696 · Cited by 177
Noninvasive Electromagnetic Wave Sensing of Glucose
Zhang, R., Liu, S., Jin, H., Luo, Y., Zheng, Z., Gao, F., & Zheng, Y. (2019) · Sensors · doi:10.3390/s19051151 · Cited by 147
Ye, J., Wu, Y., Yang, S., Zhu, D., Chen, F., Chen, J., Ji, X., & Hou, K. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1192629 · Cited by 138
Mobile and Wearable Technology for the Monitoring of Diabetes-Related Parameters: Systematic Review
Rodriguez-León, C., Villalonga, C., Munoz-Torres, M., Ruiz, J. R., & Banos, O. (2021) · JMIR mHealth and uHealth · doi:10.2196/25138 · Cited by 132
“Therefore, the chances for them to require special medical attention increases as the patients’ quality of life decreases [1].”
BackgroundWilson, S. M., Mone, P., Kansakar, U., Jankauskas, S. S., Donkor, K., Adebayo, A., Varzideh, F., Eacobacci, M., Gambardella, J., Lombardi, A., et al. (2022) · Cardiovascular Diabetology · doi:10.1186/s12933-022-01460-5 · Cited by 135
Pandey, A., Patel, K. V., Bahnson, J. L., Gaussoin, S. A., Martin, C. K., Balasubramanyam, A., Johnson, K. C., McGuire, D. K., Bertoni, A. G., Kitzman, D., et al. (2020) · Circulation · doi:10.1161/circulationaha.119.044865 · Cited by 127
Michos, E. D., Bakris, G. L., Rodbard, H. W., & Tuttle, K. R. (2023) · American Journal of Preventive Cardiology · doi:10.1016/j.ajpc.2023.100502 · Cited by 125
Lynge, T. H., Svane, J., Pedersen‐Bjergaard, U., Gislason, G., Torp-Pedersen, C. T., Banner, J., Risgaard, B., Winkel, B. G., & Tfelt‐Hansen, J. (2019) · European Heart Journal · doi:10.1093/eurheartj/ehz891 · Cited by 93
Insights into the relationships between diabetes, prediabetes, and cancer
Scappaticcio, L., Maiorino, M. I., Bellastella, G., Giugliano, D., & Esposito, K. (2016) · Endocrine · doi:10.1007/s12020-016-1216-y · Cited by 89
Incidence of Anxiety and Depression Among Patients with Type 2 Diabetes and the Predicting Factors
Khan, P., Qayyum, N., Malik, F., Khan, T., Khan, M., & Tahir, A. (2019) · Cureus · doi:10.7759/cureus.4254 · Cited by 92
for the Relationship between Cardiovascular disease and Brachial-ankle Pulse Wave Velocity (baPWV) in Patients with Type 2 Diabetes (REBOUND) Study Group, Kim, J. M., Kim, S. S., Kim, I. J., Kim, J. H., Kim, B. H., Kim, M.-K., Lee, S. H., Lee, C. W., Kim, M. C., et al. (2020) · Cardiovascular Diabetology · doi:10.1186/s12933-020-01120-6 · Cited by 80
Celastrol attenuates renal injury in diabetic rats via MAPK/NF‐κB pathway
Zhang, M., Chen, Y., Yang, M., Fan, X., Xie, H., Zhang, L., Nie, Y., & Yan, M. (2019) · Phytotherapy Research · doi:10.1002/ptr.6314 · Cited by 69
Athinarayanan, S. J., Hallberg, S. J., McKenzie, A. L., Lechner, K., King, S. M., McCarter, J. P., Volek, J. S., Phinney, S. D., & Krauss, R. M. (2020) · Cardiovascular Diabetology · doi:10.1186/s12933-020-01178-2 · Cited by 73
Xu, G., You, D., Wong, L. P., Duan, D., Kong, F., Zhang, X., Zhao, J., Xing, W., Han, L., & Li, L. (2019) · European Journal of Endocrinology · doi:10.1530/eje-18-0792 · Cited by 69
Hossain, M. B., Khan, M. N., Oldroyd, J. C., Rana, J., Magliano, D. J., Chowdhury, E., Karim, M. N., & Islam, R. M. (2022) · PLOS Global Public Health · doi:10.1371/journal.pgph.0000461 · Cited by 67
The Contribution of Cardiac Fatty Acid Oxidation to Diabetic Cardiomyopathy Severity
Karwi, Q. G., Sun, Q., & Lopaschuk, G. D. (2021) · Cells · doi:10.3390/cells10113259 · Cited by 68
Yosef, T., Nureye, D., & Tekalign, E. (2021) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s321756 · Cited by 67
Shahriari, M. H., Sabbaghi, H., Asadi, F., Hosseini, A., & Khorrami, Z. (2022) · Survey of Ophthalmology · doi:10.1016/j.survophthal.2022.08.004 · Cited by 66
Liu, J., Wu, S., Yang, C., Liu, Q., Su, L., Yang, Y., Zhang, X., Wu, M., Choi, J., & Tong, H. (2021) · Nutrients · doi:10.3390/nu13082887 · Cited by 64
Islet Encapsulation: New Developments for the Treatment of Type 1 Diabetes
Zhang, Q., Gonelle‐Gispert, C., Li, Y., Geng, Z., Gerber‐Lemaire, S., Wang, Y., & Bühler, L. H. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.869984 · Cited by 66
McCoy, R. G., Van Houten, H. K., Karaca-Mandic, P., Ross, J. S., Montori, V. M., & Shah, N. D. (2021) · Diabetes Care · doi:10.2337/dc20-2977 · Cited by 57
Time-restricted feeding protects the blood pressure circadian rhythm in diabetic mice
Hou, T., Su, W., Duncan, M. J., Vsevolozhskaya, O. A., Guo, Z., & Gong, M. C. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2015873118 · Cited by 60
Nelson, A. J., Peterson, E. D., & Pagidipati, N. J. (2019) · Progress in Cardiovascular Diseases · doi:10.1016/j.pcad.2019.07.001 · Cited by 53
Diabetes Diseases Prediction Using Supervised Machine Learning and Neighbourhood Components Analysis
Daanouni, O., Cherradi, B., & Tmiri, A. (2020) · International Conferences on Networking, Information Systems & Security · doi:10.1145/3386723.3387887 · Cited by 56
Kianmehr, H., Zhang, P., Luo, J., Guo, J. S., Pavkov, M. E., Bullard, K. M., Gregg, E. W., Ospina, N. S., Fonseca, V. A., Shi, L., et al. (2022) · JAMA Network Open · doi:10.1001/jamanetworkopen.2022.7705 · Cited by 55
Tada, T., Kumada, T., Toyoda, H., Mizuno, K., Sone, Y., Akita, T., & Tanaka, J. (2017) · Hepatology Communications · doi:10.1002/hep4.1105 · Cited by 50
Pearce, M., Fanidi, A., Bishop, T. R. P., Sharp, S. J., Imamura, F., Dietrich, S., Akbaraly, T. N., Bes‐Rastrollo, M., Beulens, J. W. J., Byberg, L., et al. (2020) · Journal of Nutrition · doi:10.1093/jn/nxaa447 · Cited by 51
New Insight into Diabetes Management: From Glycemic Index to Dietary Insulin Index
Yari, Z., Behrouz, V., Zand, H., & Pourvali, K. (2019) · Current Diabetes Reviews · doi:10.2174/1573399815666190614122626 · Cited by 52
Milk in the prevention and management of type 2 diabetes: The potential role of milk proteins
Hidayat, K., Du, X., & Shi, B. (2019) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.3187 · Cited by 52
Fu, Y., Liu, Z., Wang, H., Zhang, F., Guo, S., & Shen, Q. (2023) · Food Chemistry · doi:10.1016/j.foodchem.2022.135378 · Cited by 48
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Bu, Y., Shih, K. C., & Tong, L. H. T. (2022) · Experimental Eye Research · doi:10.1016/j.exer.2022.109099 · Cited by 51
Fracture risk assessment in diabetes mellitus
Chen, W., Mao, M., Jin, F., Xie, Y., & Rui, Y.-J. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.961761 · Cited by 49
Phrommintikul, A., Wongcharoen, W., Kumfu, S., Jaiwongkam, T., Gunaparn, S., Chattipakorn, S. C., & Chattipakorn, N. (2019) · British Journal of Clinical Pharmacology · doi:10.1111/bcp.13903 · Cited by 48
Urakaze, M., Kobashi, C., Satou, Y., Shigeta, K., Toshima, M., Takagi, M., Takahashi, J., & Nishida, H. (2021) · Nutrients · doi:10.3390/nu13124381 · Cited by 46
Ensemble Framework of Deep CNNs for Diabetic Retinopathy Detection
Gao, J., Qummar, S., Zhang, J., Yao, R., & Khan, F. G. (2020) · Computational Intelligence and Neuroscience · doi:10.1155/2020/8864698 · Cited by 46
A Meta-Analysis of the Outcomes of Split-Thickness Skin Graft on Diabetic Leg and Foot Ulcers
Yammine, K., & Assi, C. (2019) · The International Journal of Lower Extremity Wounds · doi:10.1177/1534734619832123 · Cited by 45
Olamoyegun, M. A., Alare, K., Afolabi, S. A., Aderinto, N., & Adeyemi, T. M. (2024) · Clinical Diabetes and Endocrinology · doi:10.1186/s40842-024-00209-1 · Cited by 63
Predicting diabetes diseases using mixed data and supervised machine learning algorithms
Daanouni, O., Cherradi, B., & Tmiri, A. (2019) · International Conference on Smart City Applications (SCA) · doi:10.1145/3368756.3369072 · Cited by 44
Barroso, M., Goday, A., Ramos, R., Marín-Ibáñez, A., Guembe, M. J., Rigo, F., Tormo-Díaz, M. J., Moreno‐Iribas, C., Cabré, J. J., Segura, A., et al. (2017) · Preventive Medicine · doi:10.1016/j.ypmed.2017.11.013 · Cited by 44
Self-citationHow caffeic acid and its derivatives combat diabetes and its complications: A systematic review
Akhlaghipour, I., Shad, A. N., Askari, V. R., Maharati, A., & Rahimi, V. B. (2023) · Journal of Functional Foods · doi:10.1016/j.jff.2023.105862 · Cited by 43
Dual α-amylase and α-glucosidase inhibitors: recent progress from natural and synthetic resources
Jha, R., Goyal, K., Mehan, S., & Singh, G. (2025) · Bioorganic Chemistry · doi:10.1016/j.bioorg.2025.108762 · Cited by 48
Sheleme, T., Mamo, G., Melaku, T., & Sahilu, T. (2020) · Diabetes Therapy · doi:10.1007/s13300-020-00861-7 · Cited by 45
Svane, J., Lynge, T. H., Pedersen‐Bjergaard, U., Jespersen, T., Gislason, G., Risgaard, B., Winkel, B. G., & Tfelt‐Hansen, J. (2019) · European Journal of Preventive Cardiology · doi:10.1177/2047487319836550 · Cited by 42
Diabetes and the Risk of Sudden Cardiac Death
Svane, J., Pedersen‐Bjergaard, U., & Tfelt‐Hansen, J. (2020) · Current Cardiology Reports · doi:10.1007/s11886-020-01366-2 · Cited by 45
Stefaniak, A. A., Krajewski, P. K., Bednarska-Chabowska, D., Bolanowski, M., Mazur, G. J., & Szepietowski, J. C. (2021) · Biology · doi:10.3390/biology10121332 · Cited by 44
Nair, H. K. R., Tatavilis, N., Pospíšilová, I., Kučerová, J., & Cremers, N. A. J. (2020) · Antibiotics · doi:10.3390/antibiotics9090529 · Cited by 40
Type 2 Diabetes Mellitus and Cancer: Epidemiology, Physiopathology and Prevention
Rey‐Reñones, C., Baena-Díez, J. M., Aguilar‐Palacio, I., Miquel, C., & Grau, M. (2021) · Biomedicines · doi:10.3390/biomedicines9101429 · Cited by 43
Self-citationLncRNA Blnc1 expression and its effect on renal fibrosis in diabetic nephropathy.
Feng, X., Zhao, J., Ding, J., Shen, X., Zhou, J., & Xu, Z. (2019) · PubMed Central · Cited by 38
Kiuchi, S., Hisatake, S., Kabuki, T., Fujii, T., Oka, T., Dobashi, S., Hashimoto, H., & Ikeda, T. (2018) · Drug Discoveries & Therapeutics · doi:10.5582/ddt.2017.01069 · Cited by 37
Goruntla, N., Mallela, V., & Nayakanti, D. (2019) · Journal of Pharmacy And Bioallied Sciences · doi:10.4103/jpbs.jpbs_211_18 · Cited by 38
Hamidi, S., Gholamnezhad, Z., Kasraie, N., & Sahebkar, A. (2022) · Journal of Diabetes Research · doi:10.1155/2022/2884933 · Cited by 37
Ding, L., Yan, F., Zhang, Y., Liu, L., Yu, X., & Liu, H. (2019) · ACS Applied Nano Materials · doi:10.1021/acsanm.9b02156 · Cited by 36
Perkins, J. D., Wilkins, S. S., Kamran, S., & Shuaib, A. M. (2021) · Neurobiology of Stress · doi:10.1016/j.ynstr.2021.100332 · Cited by 38
Type 2 Diabetes Mellitus and COVID-19: A Narrative Review
Rey‐Reñones, C., Martínez‐Torres, S., Martín‐Luján, F., Pericas, C., Redondo, A., Vilaplana-Carnerero, C., Domı́nguez, Á., & Grau, M. (2022) · Biomedicines · doi:10.3390/biomedicines10092089 · Cited by 37
Self-citationHuman islet amyloid polypeptide: A therapeutic target for the management of type 2 diabetes mellitus
Roham, P. H., Save, S. N., & Sharma, S. (2022) · Journal of Pharmaceutical Analysis · doi:10.1016/j.jpha.2022.04.001 · Cited by 37
Guest, N. S., Raj, S., Landry, M. J., Mangels, A. R., Pawlak, R., Senkus, K. E., Handu, D., & Rozga, M. (2024) · Advances in Nutrition · doi:10.1016/j.advnut.2024.100294 · Cited by 40
Bauduceau, B., Floch, J. P. L., Halimi, S., Verny, C., Doucet, J., & Intergroup, T. S. (2017) · Diabetes Care · doi:10.2337/dc17-1437 · Cited by 35
Validity of type 2 diabetes diagnosis in a population-based electronic health record database
Moreno‐Iribas, C., Sayón-Orea, C., Delfrade, J., Ardanáz, E., Gorricho, J., Burgui, R., Nuín, M., & Guevara, M. (2017) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-017-0439-z · Cited by 34
Self-citationPredictive value of abnormal ankle-brachial index in patients with diabetes: A meta-analysis
Nie, F., He, J., Cao, H., & Hu, X. (2021) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2021.108723 · Cited by 32
Hanson, J., & Smith, S. (2019) · American Journal of Tropical Medicine and Hygiene · doi:10.4269/ajtmh.19-0375 · Cited by 32
Nyambuya, T. M., Dludla, P. V., Mxinwa, V., & Nkambule, B. B. (2019) · Clinical Immunology · doi:10.1016/j.clim.2019.108313 · Cited by 32
Williams, D. M., Ruslan, A. M., Khan, R., Vijayasingam, D., Iqbal, F., Shaikh, A., Lim, J., Chudleigh, R., Peter, R., Udiawar, M., et al. (2021) · Diabetes Therapy · doi:10.1007/s13300-021-01015-z · Cited by 31
Role of Glucose-Lowering Medications in Erectile Dysfunction
Cignarelli, A., Genchi, V. A., D’Oria, R., Giordano, F., Caruso, I., Perrini, S., Natalicchio, A., Laviola, L., & Giorgino, F. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10112501 · Cited by 30
McCoy, R. G., Herrin, J., Swarna, K. S., Deng, Y., Kent, D. M., Ross, J. S., Umpierrez, G. E., Galindo, R. J., Crown, W. H., Borah, B. J., et al. (2024) · Nature Cardiovascular Research · doi:10.1038/s44161-024-00453-9 · Cited by 30
Martínez-Laguna, D., Nogués, X., Abrahamsen, B., Reyes, C., Carbonell-Abella, C., Díez‐Pérez, A., & Prieto‐Alhambra, D. (2017) · Osteoporosis International · doi:10.1007/s00198-017-4096-y · Cited by 29
Huth, C., Bauer, A., Zierer, A., Sudduth-Klinger, J., Meisinger, C., Roden, M., Peters, A., Köenig, W., Herder, C., & Thorand, B. (2020) · Cardiovascular Diabetology · doi:10.1186/s12933-020-01003-w · Cited by 29
Identifying Causes for Excess Mortality in Patients With Diabetes: Closer but Not There Yet
Yu, O. H. Y., & Suissa, S. (2016) · Diabetes Care · doi:10.2337/dci16-0026 · Cited by 28
Bruemmer, D., & Nissen, S. E. (2020) · Cardiovascular Endocrinology & Metabolism · doi:10.1097/xce.0000000000000199 · Cited by 30
Associations between serum total bilirubin, obesity and type 2 diabetes
Wei, Y., Liu, C., Lai, F., Dong, S., Chen, H., Chen, L., Shi, L., Zhu, F., Zhang, C., Lv, X., et al. (2021) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-021-00762-0 · Cited by 28
Sohail, M. U., Mashood, F., Oberbach, A., Chennakkandathil, S., & Schmidt, F. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.1042362 · Cited by 34
Chen, S., Deng, S., Liu, Y., & Yin, T. (2022) · Frontiers in Sports and Active Living · doi:10.3389/fspor.2022.900815 · Cited by 32
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Bonanni, L. J., Wittkopp, S., Long, C., Alemán, J. O., & Newman, J. D. (2024) · Frontiers in Endocrinology · doi:10.3389/fendo.2024.1321323 · Cited by 28
Thakur, G., Lee, H., Jeon, R., Lee, S., & Rho, G. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21072388 · Cited by 31
Siddique, M. H., Ashraf, A., Hayat, S., Aslam, B., Fakhar-e-alam, M., Muzammil, S., Atif, M. M., Shahid, M., Shafeeq, S., Afzal, M., et al. (2022) · Journal of Saudi Chemical Society · doi:10.1016/j.jscs.2021.101418 · Cited by 27
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Sheu, A., Bliuc, D., Tran, T. S., & White, C. (2022) · Bone · doi:10.1016/j.bone.2022.116373 · Cited by 27
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Ares, J., Valdés, S., Botas, P., Sánchez-Ragnarsson, C., Rodríguez‐Rodero, S., Morales-Sánchez, P., Torre, E. L. M., & Delgado, E. (2019) · PLoS ONE · doi:10.1371/journal.pone.0211070 · Cited by 24
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Shi, L., Zhang, R., Li, T. X., Han, X., Yuan, N., Jiang, L., Zhou, H., & Xu, S. (2020) · Aging · doi:10.18632/aging.202418 · Cited by 23
Yassin, Z. A. R., Halim, F. N. B. A., Taheri, A., Goh, K. K. T., & Du, J. (2023) · LWT · doi:10.1016/j.lwt.2023.115008 · Cited by 23
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Metadata
- Authors
- Baena-Díez, J. M., Peñafiel, J., Subirana, I., Ramos, R., Elosua, R., Marín-Ibañez, A., Guembe, M. J., Rigo, F., Tormo-Díaz, M. J., Moreno-Iribas, C., Cabré, J. J., Segura, A., García-Lareo, M., Gómez de la Cámara, A., Lapetra, J., Quesada, M., Marrugat, J., Medrano, M. J., Berjón, J., Frontera, G., Gavrila, D., Barricarte, A., Basora, J., García, J. M., Pavone, N. C., Lora-Pablos, D., Mayoral, E., Franch, J., Mata, M., Castell, C., Frances, A., Grau, M., & on behalf of the FRESCO Investigators
- Affiliations
- REGICOR Study Group–Cardiovascular Epidemiology and Genetics, Hospital del Mar Medical Research Institute, Barcelona, Spain
- Hospital Del Mar (ES)
- Universitat de Girona (ES)
- San Jose Norte Health Centre, Zaragoza, Spain
- Gobierno de Navarra (ES)
- Cardiovascular Group of Balearic Islands, Palma de Mallorca, Spain
- Servicio Murciano de Salud (ES)
- Navarre Public Health Institute, Pamplona, Spain
- Institut Universitari d'Investigació en Atenció Primària Jordi Gol (ES)
- Regional Government of Castile-La Mancha (ES)
- Consortium for Biomedical Research in Epidemiology and Public Health, Madrid, Spain
- Consortium for Biomedical Research in Obesity and Nutrition, Madrid, Spain
- Family Medicine Research Unit and Primary Health Care Research Unit Institute Jordi Gol, Catalan Institute of Health, Girona, Spain
- Instituto de Salud Carlos III (ES)
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (ES)
- Primary Health Care Research Unit Institute Jordi Gol, Catalan Institute of Health, Reus-Tarragona, Spain
- Health Science Institute, Department of Health and Social Affairs, Castille–La Mancha Government, Talavera de la Reina, Spain
- Andalusian Health Service (ES)
- Primary Care Center Raval Sud and Primary Health Care Research Unit Institute Jordi Gol, Catalan Institute of Health, Barcelona, Spain
- Primary Care Center La Mina and Primary Health Care Research Unit Institute Jordi Gol, Catalan Institute of Health, Barcelona, Spain
- Generalitat de Catalunya (ES)
- Department of Urology, Hospital del Mar, Barcelona, Spain
- Corresponding author
- Grau, María
- ORCID
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2016-08-04
- Volume
- 39
- Issue
- 11
- Pages
- 1987-1995
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- OpenAlex
- W2475954707
- Cited by
- 384
- References
- 44
- Citations by year
- 2026: 21 · 2025: 27 · 2024: 61 · 2023: 42 · 2022: 64 · 2021: 49 · 2020: 51 · 2019: 44 · 2018: 14 · 2017: 8 · 2016: 3
- FWCI
- 23.10
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- Diabetes Care (publishedVersion)
- PubMed (publishedVersion)
- RISalud Institutional Health Repository of Andalucía (submittedVersion, other-oa)
- Rovira & Virgili repository (submittedVersion, cc-by)
- Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona) (submittedVersion, public-domain)
- Docusalut (Conselleria de Salut i Consum del Govern de les Illes Balears) (submittedVersion)
- Hispana (submittedVersion)
- Repositori digital de la UPF (Universitat Pompeu Fabra) (submittedVersion)
- Funders
- Instituto de Salud Carlos III (FIS CP12/03287)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Epidemiology › Healthcare Systems and Public Health
- Keywords
- diabetes mellitus, cause-specific mortality, competing risks, cardiovascular mortality, cancer mortality, premature mortality, cause-specific hazard, sex differences in mortality, life expectancy, cardiovascular risk factors, cancer risk factors, mortality risk factors
- MeSH terms
- Adult, Aged, Blood Glucose, Cardiovascular Diseases, Cause of Death, Diabetes Mellitus, Type 1, Diabetes Mellitus, Type 2, Female, Follow-Up Studies, Humans, Life Expectancy, Male, Middle Aged, Neoplasms, Risk Factors, Cohort Studies, Multivariate Analysis, Risk Assessment
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